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Author:

Gao, Bin (Gao, Bin.) | Chen, Ningning (Chen, Ningning.) | Chang, Yu (Chang, Yu.) (Scholars:常宇)

Indexed by:

EI Scopus

Abstract:

The Intra-Aorta Pump is a novel LVAD assisting the native heart without percutaneous drive-lines. The Intra-Aorta Pump is emplaced between the radix aortae and the aortic arch to draw-off the blood from the left ventricle to the aorta. To predict the change of pressure drop and blood flow along with the change of pump speed, a nonlinear model has been made based on the structure and speed of the Intra-Aorta Pump. To do this, a nonlinear electric circuit for the Intra-Aorta Pump has been developed. The model includes two speed dependent current sources and flow dependent resistant to simulate the relationship between the pressure drop of the Intra-Aorta Pump and the flow through the pump along with the change of pump speed. The pressure drop and blood flow is derived by solving differential equations with variable coefficients. The parameters of the model are determined by experiment, and the results of the experiment show that these parameters change along with the change of the pump speed distinctness. The accuracy of the model is tested experimentally on a test loop. The comparison of the prediction data derived from the model with the experimental data shows that the error is lest than 15%. The experimental results showed that the model can predict the change of pressure drop and blood flow accurately. © 2009 Springer-Verlag.

Keyword:

Digital storage Drops Information systems Information use Pressure drop Forecasting Left ventricular assist devices Differential equations Pumps Hemodynamics Speed Data mining Blood Blood vessels Numerical analysis

Author Community:

  • [ 1 ] [Gao, Bin]School of Life Science and BioEngineering, Beijing University of Technology, Beijing, 100124, China
  • [ 2 ] [Chen, Ningning]School of Life Science and BioEngineering, Beijing University of Technology, Beijing, 100124, China
  • [ 3 ] [Chang, Yu]School of Life Science and BioEngineering, Beijing University of Technology, Beijing, 100124, China

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ISSN: 0302-9743

Year: 2009

Volume: 5854 LNCS

Page: 177-185

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 4

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 6

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